Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods

Zeybek, Mustafa

doi:10.1088/1361-6501/abf25d

Cited by 41 publications

(31 citation statements)

References 44 publications

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“…Before these measurements, the calibration parameters supported by dense images and viewing angles and obtained using dense ground control points were recorded in Agisoft Metashape and Pix4D Mapper software formats. These calibration values were obtained with 100 m and 75 m. This method is explained in detail by Zeybek (2021). In this way, high accuracy 3D models were produced from both software.…”

Section: Image Processingmentioning

confidence: 99%

3D Dense Reconstruction of Road Surface from UAV Images and Comparison of SfM Based Software Performance

Zeybek¹,

Biçici²

2021

Turkish Journal of Remote Sensing and GIS

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Unmanned Aerial Vehicle (UAV) technology is one of the fastest-growing technologies especially used in image processing. Structure-from-Motion (SfM) based software are usually used to convert two-dimensional UAV-based images into three-dimensional (3D) data. Then, objects such as buildings, trees, and roads can be classified from the 3D data for further analysis. In this study, the road surface generated from 3D data was evaluated. There are several factors that affect the accuracy of the 3D data. In this study, two factors, namely UAV flight altitude and SfM based software, were evaluated. Two different flight altitudes, which were 35 meters and 50 meters, were used. It was found that the lower flights with closer altitudes did not make a significant difference on the results and produced similar results. Another factor is different SfM based software. Two well-known SfM based software were used in this study, which were the Agisoft Metashape and Pix4D Mapper. In this case study, it was found that the Agisoft Metashape software produced more accurate and faster results than Pix4D Mapper software.

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Section: Image Processingmentioning

confidence: 99%

3D Dense Reconstruction of Road Surface from UAV Images and Comparison of SfM Based Software Performance

Zeybek¹,

Biçici²

2021

Turkish Journal of Remote Sensing and GIS

Self Cite

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“…These systems are capable of digitizing complex 3D scenarios without a global navigation satellite system (GNSS), thanks to SLAM algorithms (Bailay et al, 2006;Tang et al, 2015;Zeybek, 2021). The quality of the data depends on the rate of penetration and the distance to the object.…”

Section: Wearable Mobile Laser Scanner (Wmls)mentioning

confidence: 99%

Detection of existing infrastructure lines with wearable laser scanners and making infrastructure map: a case of Mersin University

Ulvi̇

Yi̇ği̇t

ÇELİK

et al. 2021

Mersin Photogrammetry Journal

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Technological developments have shown themselves in the field of engineering as in every field. Wearable mobile laser scanner (WMLS) system is a technique based on simultaneous localization and mapping (SLAM) algorithm. This technique enables the creation of a map of an unknown environment bypassing with distance sensors while simultaneously determining the system located on the map. Due to the rapid progress in measurement technology, a heron WMLS has been used in the detection of underground lines. The point cloud of the roads was obtained with the laser scanner. Sewerage, water, and natural gas pipelines were determined through the point cloud. These determinations were checked with a Global Positioning System (GPS) device. As a result of this study, maps of the existing infrastructure lines in the campus were created.

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“…Georeferencing is the process of referencing the results of bundle adjustment (BA) and photogrammetric processes to a specific coordinate system [13]. During bundle adjustment (BA), ground control point (GCP) coordinates on the ground are provided and measured in the images (indirect georeferencing) or known external elements of the images are directly used (direct georeferencing) [14].…”

Section: Introductionmentioning

confidence: 99%

“…UAV cross flights and imagery with large overlap can provide redundant data and improve the reliability of image matching, which requires high computing power [1,39]. The addition of oblique images helps to accurately estimate the internal and external orientation elements in the process of bundle adjustment, extract vertical features such as building sidewalls, and obtain the best vertical accuracy [13]. A more accurate GCP measurement method can be used, rather than simply increasing the number of GCPs.…”

mentioning

confidence: 99%

Accuracy Assessment of a UAV Direct Georeferencing Method and Impact of the Configuration of Ground Control Points

Liu

Lian

Yang³

et al. 2022

Drones

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Unmanned aerial vehicles (UAVs) can obtain high-resolution topography data flexibly and efficiently at low cost. However, the georeferencing process involves the use of ground control points (GCPs), which limits time and cost effectiveness. Direct georeferencing, using onboard positioning sensors, can significantly improve work efficiency. The purpose of this study was to evaluate the accuracy of the Global Navigation Satellite System (GNSS)-assisted UAV direct georeferencing method and the influence of the number and distribution of GCPs. A FEIMA D2000 UAV was used to collect data, and several photogrammetric projects were established. Among them, the number and distribution of GCPs used in the bundle adjustment (BA) process were varied. Two parameters were considered when evaluating the different projects: the ground-measured checkpoints (CPs) root mean square error (RMSE) and the Multiscale Model to Model Cloud Comparison (M3C2) distance. The results show that the vertical and horizontal RMSE of the direct georeferencing were 0.087 and 0.041 m, respectively. As the number of GCPs increased, the RMSE gradually decreased until a specific GCP density was reached. GCPs should be uniformly distributed in the study area and contain at least one GCP near the center of the domain. Additionally, as the distance to the nearest GCP increased, the local accuracy of the DSM decreased. In general, UAV direct georeferencing has an acceptable positional accuracy level.

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Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods

Cited by 41 publications

References 44 publications

3D Dense Reconstruction of Road Surface from UAV Images and Comparison of SfM Based Software Performance

3D Dense Reconstruction of Road Surface from UAV Images and Comparison of SfM Based Software Performance

Detection of existing infrastructure lines with wearable laser scanners and making infrastructure map: a case of Mersin University

Accuracy Assessment of a UAV Direct Georeferencing Method and Impact of the Configuration of Ground Control Points

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